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AI Engineer, Data Specialist
ooca - Telemedica Co., Ltd. Design, build, and optimize LLM pipelines including retrieval, context assembly, grounding, prompting, and tool-calling .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and optimizing LLM pipelines, including retrieval and context assembly, while effectively utilizing Python and SQL for data handling and querying. Proficient in deploying AI solutions across cloud or on-prem infrastructure, ensuring safety and reproducibility.
Highest-signal resume keywords
LLM Pipeline DesignPython ProficiencySQL QueryingExperience with BI ToolsAI API Utilization
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
LLM Pipeline OptimizationData Handling in PythonSQL (MySQL, PostgreSQL)RAG System DevelopmentModel Performance EvaluationLightweight Fine-TuningFastAPI DevelopmentVector Database ManagementChunking StrategiesHybrid Retrieval Approaches
Soft Skills
Problem StructuringIndependent Task ManagementClear Communication in ThaiWorking Proficiency in English
Tools & Technologies
FastAPIVLLMTGIOllamaLooker StudioMetabasePower BITableauJSONEvent Systems
Industry Keywords
Data ScienceAIAnalyticsSoftware DevelopmentBenchmark DatasetsSynthetic QA GenerationContext CollisionsHallucinationsTask-Specific ImprovementsVersioning
Tech Stack
Tools & technologiesAssemblyCloudMySQLPostgresPythonSQLTableau
About the role
Key responsibilities & impact- Design, build, and optimize LLM pipelines including retrieval, context assembly, grounding, prompting, and tool-calling
- Develop RAG systems using vector databases, metadata design, chunking strategies, and hybrid retrieval approaches
- Build agentic workflows and function-calling systems capable of reasoning, planning, and executing tasks
- Evaluate model performance using structured test suites, synthetic QA generation, and benchmark datasets
- Work closely with product and domain experts to translate ambiguous requirements into clear, structured LLM tasks
- Diagnose and mitigate failure modes such as hallucinations, retrieval misses, and context collisions
- Apply lightweight fine-tuning or LoRA for task-specific improvements when needed
- Develop and maintain backend components for LLM pipelines, including FastAPI, event systems, and queues
- Prepare unstructured documents such as PDFs, HTML, logs, and knowledge bases for ingestion and indexing in vector/RAG systems
- Support deployment across cloud or on-prem infrastructure using vLLM, TGI, Ollama, GPUs, and token-budgeting
- Ensure AI features are grounded, safe, testable, reproducible, versioned, and backed by real evaluation
Requirements
What you’ll need- Bachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, Statistics, or related field; or equivalent practical experience
- 1–3 years of experience in a data / AI / analytics / software role, or strong project portfolio demonstrating equivalent capability
- Strong fresh graduates will be considered if portfolio is solid
- Practical proficiency in Python for data handling, calling APIs and working with JSON, and writing small scripts/services
- Practical proficiency in SQL, such as MySQL or PostgreSQL, for querying, joining, and aggregating data
- Experience with at least one BI / dashboarding tool, such as Looker Studio, Metabase, Power BI, Tableau, or similar
- Hands-on experience using LLM / AI APIs in personal, academic, or production projects
- Ability to structure problems, work independently on tasks, and deliver within agreed timelines
- Ability to communicate clearly in Thai
- Working proficiency in English for tools, documentation, and some communication
Benefits
Comp & perks- Health Insurance
- Hybrid
- Annual Leave 12 days
- Mental Health counseling sessions with psychiatrists and psychologists through ooca platform
- Social Security Insurance
- Provident Fund (condition applied)
- Annual Health check-up (condition applied)
- Special discount home loan interest with Government Housing Bank
- BYOD policy: Personal laptops less than 3 years old are eligible for 1000 THB/month subsidy (registration required)